[R] R Book Advice Needed
Peter Dalgaard
P.Dalgaard at biostat.ku.dk
Wed Jun 13 17:03:41 CEST 2007
Roland Rau wrote:
> Hi,
>
> ngottlieb at marinercapital.com wrote:
>
>> I am new to using R and would appreciate some advice on
>> which books to start with to get up to speed on using R.
>>
>> My Background:
>> 1-C# programmer.
>> 2-Programmed directly using IMSL (Now Visual Numerics).
>> 3- Used in past SPSS and Statistica.
>>
>> I put together a list but would like to pick the "best of"
>> and avoid redundancy.
>>
>> Any suggestions on these books would be helpful (i.e. too much overlap,
>> porly written etc?)
>>
>> Books:
>> 1-Analysis of Integrated and Co-integrated Time Series with R (Use R) -
>> Bernhard Pfaff
>> 2-An Introduction to R - W. N. Venables
>> 3-Statistics: An Introduction using R - Michael J. Crawley
>> 4-R Graphics (Computer Science and Data Analysis) - Paul Murrell
>> 5-A Handbook of Statistical Analyses Using R - Brian S. Everitt
>> 6-Introductory Statistics with R - Peter Dalgaard
>> 7-Using R for Introductory Statistics - John Verzani
>> 8-Data Analysis and Graphics Using R - John Maindonald;
>> 9-Linear Models with R (Texts in Statistical Science) - Julian J.
>> Faraway
>> 10-Analysis of Financial Time Series (Wiley Series in Probability and
>> Statistics)2nd edition - Ruey S. Tsay
>>
>
> as one other message says, it depends a lot on your ideas what you want
> to do with R. And, I'd like to add, how familiar you are with statistics.
> One book I am missing in your list is Venables / Ripley: Modern Applied
> Statistics with S. I can highly recommend it.
> If you are going to buy yourself only one book, then I would say: buy
> Venables/Ripley
>
>
>
And given the programming background, also check out the other V&R book,
"S Programming". (This is about R too).
--
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c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
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~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907
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